Excel · study · 2026
Transcriptional profiling of native, proliferative, and differentiated hNECs
Listed in NCBI GEO
Studying epithelial dysfunction in respiratory diseases requires physiologically relevant human models that faithfully recapitulate airway structure and function.
Description
Primary human nasal epithelial cells (hNECs) represent an accessible and clinically validated system, widely used for mutation-specific drug theratyping. However, the broader potential of hNECs as an integrated experimental platform remains underexplored.
Here, we establish a customized hNEC-based platform spanning ex vivo, in vitro, and stem cell-based applications, with direct relevance to precision medicine. Using freshly fixed nasal brushings, we developed a quantitative single-cell metric to assess Cystic Fibrosis Transmembrane Conductance Regulator (CFTR) localization at the ionocyte plasma membrane, identifying a candidate ex vivo biomarker sensitive to disease status and pharmacological modulation in cystic fibrosis (CF).
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In parallel, transcriptomic profiling demonstrated that air-liquid interface-differentiated hNECs closely recapitulate the molecular features of native nasal epithelium. Functionally, differentiated hNECs reproduced key properties of airway surface liquid (ASL) physiology and its dysregulation under inflammatory and CF conditions. Finally, we show that basal hNECs provide a robust and accessible source for induced pluripotent stem cell (iPSC) generation. hNEC-derived iPSCs exhibited canonical pluripotency features, differentiated efficiently into germ layer derivatives and lung progenitors, and displayed transcriptomic profiles indistinguishable from iPSCs generated from other somatic sources.
Together, these findings position hNECs as a versatile, patient-specific platform enabling ex vivo biomarker discovery, in vitro modeling of airway physiology, and generation of stem cell–based models, thereby expanding their utility for respiratory research and precision medicine.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE319nnn/GSE319530 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE319530 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1423675 ncbi.nlm.nih.gov/bioproject/PRJNA1423675 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Disease 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE319530 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |